Arpit Chauhan

SDE
2023 - Current
Automated OTP submission for banking transactions post-card/net banking on the native platform, which also significantly increased the success rate. Utilized JavaScript events and web scraping for a seamless user experience Designed and implemented payment flows for high-volume transactions, including ”Payout,” a microapp tailored for seamless refund processing with end-to-end encrypted APIs. Integrated payment systems for the IRCTC mobile app, managing 7-8 lac daily transactions, and also for international merchants like HSBC
Associate Software Development Engineer
2022 - 2023
• Designed and implemented the payment flow for the IRCTC mobile app, facilitating approximately 7-8 lac daily transactions.

Salesforce Consultant Trainee
2022 - 2022
MTX Group Inc. (MTX) is a global technology consulting firm that enables organizations to modernize through digital transformation. With data as the new currency, MTX helps transform long-term strategy with outcomes in mind around happiness, health, and the economy. MTX improves decision-making with speed and quality by partnering with leading cloud technologies. Learned about salesforce Administration, some frameworks like Aura, LWC, programming language Apex, and query language like SOQL. Learned and implemented integrations with Apex, Design REST Api's with APEX Designed and developed applications in which the frontend is made with LWC or Aura and the backend with Apex.

Data Science in Python
2020 - 2020
Xane AI is an award-winning B2B SaaS AI platform aimed at revolutionizing user experience using Computer Vision and Natural Language Processing to help organizations create personalized user experiences and automate their business processes, eventually helping them reducing cost & increasing business efficiency. Worked with common Machine Learning Algorithms like Classification, Regression, and Ensemble models. Implemented different CNN architectures like a sequence of convolutions, pooling, Activation functions in TensorFlow to improve model performance. Worked with python libraries like Matplotlib, Seaborn, Numpy, Pandas. Also, work with Pretrained models like MobileNetV2, VGG16